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AI Roundtable Poll · 6 models

which database will stay next 10 year

Result: Unanimous — PostgreSQL (6/6 votes)

Options

Model Responses

GPT-5.4

Vote: PostgreSQL

PostgreSQL is the strongest bet for the next 10 years because it is open source, widely adopted, and backed by a very active global community. It continues to grow across startups, enterprises, and cloud platforms. That broad support reduces vendor lock-in and makes long-term survival very likely. Technically, PostgreSQL keeps evolving: strong SQL compliance, reliability, extensions, JSON support, analytics features, and scalability improvements. It adapts well to modern application needs. Oracle and SQL Server will also remain important, but PostgreSQL has the best mix of longevity, flexibility, cost efficiency, and ecosystem momentum. GraphQL is not a database, so it is not the correct choice here.

Grok 4.1 Fast

Vote: PostgreSQL

PostgreSQL is the most future-proof choice among the options. As a fully open-source relational database, it offers enterprise-grade features like JSON support, full-text search, and extensibility without licensing costs that plague Oracle and SQL Server. Its adoption has surged: DB-Engines ranks it #4 overall and growing fastest among RDBMS. Companies like Apple, Netflix, and Instagram rely on it, proving scalability. Oracle (A, misspelled) faces market share erosion due to high costs and cloud shifts. SQL Server (B) is Windows-centric, limiting portability. GraphQL (D) is a query language, not a database. 'Other' (E) is vague, but Postgres dominates open-source trends. In 10 years, Postgres's community momentum and versatility ensure it thrives amid cloud-native and multi-model demands.

Sonar Pro

Vote: PostgreSQL

**PostgreSQL is the strongest candidate among the options for longevity over the next 10 years.** **Market trends favor open-source relational databases like PostgreSQL.** Search result [8] highlights that PostgreSQL and MySQL remain dominant in relational database management systems (RDBMS) within the open-source database market, projected to grow at a 12.89% CAGR to $9.72B by 2025 and beyond[8]. Broader database software market growth at 9.7% CAGR to $295.67B by 2030 emphasizes cloud-native, multi-model, and automated databases—areas where PostgreSQL excels with robust features, JSON support, and cloud compatibility[6]. **Options A (Oracle, misspelled as ORALCE) and B (SQL Server) are legacy proprietary systems facing headwinds.** While established, they lag in the shift to open-source and cloud-native solutions dominating forecasts[4][6]. No results predict their outsized future dominance. **D (GraphQL) is not a database; it's a query language.** This invalidates it for 'database' survival. **E (Other) is too vague; PostgreSQL fits directly.** Cloud consolidation around platforms like Snowflake/Databricks (built on open-source foundations) reinforces PostgreSQL's ecosystem role[1]. Its free licensing, active community, and enterprise adoption ensure 10+ year relevance.

Gemini 3.1 Pro

Vote: PostgreSQL

PostgreSQL is the most compelling choice for the database that will define the next 10 years due to its unparalleled momentum, massive open-source community, and universal adoption across both agile startups and massive enterprises. Its unmatched extensibility makes it uniquely future-proof. Through extensions like 'pgvector', PostgreSQL has seamlessly adapted to the generative AI boom, while 'PostGIS' keeps it the gold standard for geospatial data. It also handles JSON data incredibly well, often eliminating the need for separate NoSQL document stores. Furthermore, every major cloud provider has built highly optimized, flagship managed services around it (such as AWS Aurora and Google Cloud AlloyDB). While commercial legacy systems like Oracle and SQL Server will undoubtedly survive through enterprise lock-in, PostgreSQL has become the undisputed default standard for new development. (Note: GraphQL is an API query language, not a database).

Claude Opus 4.6

Vote: PostgreSQL

PostgreSQL is the strongest candidate for sustained relevance over the next 10 years for several reasons. First, PostgreSQL is open-source with a permissive license, which means it has no vendor lock-in and no licensing costs. This makes it attractive to startups, enterprises, and cloud providers alike. All major cloud platforms (AWS, Azure, GCP) offer managed PostgreSQL services, ensuring its continued ecosystem growth. Second, PostgreSQL has been on a consistent upward trajectory in adoption and community contribution. It has repeatedly been named DB-Engines' DBMS of the Year and its momentum shows no signs of slowing. The community is vibrant and the release cycle is reliable, with meaningful features added every year. Third, PostgreSQL is remarkably versatile — it supports relational data, JSON/document storage, full-text search, geospatial data (PostGIS), and even graph-like queries. This adaptability means it can serve many use cases that might otherwise require specialized databases. Note: Oracle and SQL Server will also certainly still exist in 10 years — they have massive enterprise installations and long-term contracts. However, the question seems to ask which will "stay" in the sense of remaining most relevant and growing, and PostgreSQL is best positioned for that. Also worth noting: GraphQL (option D) is not a database at all — it's an API query language — so it doesn't belong in this comparison.

Kimi K2.5

Vote: PostgreSQL

PostgreSQL is uniquely positioned to dominate the next decade due to its open-source foundation, eliminating vendor lock-in risks associated with proprietary alternatives. Its technical versatility—handling traditional relational workloads alongside JSONB document storage—makes it the default choice for modern, hybrid data architectures. Enterprise migration patterns strongly favor PostgreSQL, with organizations moving away from expensive Oracle and SQL Server licenses toward managed PostgreSQL offerings on AWS, Azure, and GCP. The database benefits from massive community investment, ensuring continuous innovation in performance, security, and extension ecosystems (PostGIS, Citus, etc.). While Oracle and SQL Server will persist due to legacy enterprise systems, their growth is stagnating. GraphQL is an API query language, not a database, making it an invalid choice. PostgreSQL represents the safest long-term bet for both new development and modernization projects.

Final Summary

The AI Roundtable achieved a rare, absolute consensus, crowning PostgreSQL as the dominant database for the next decade due to its open-source momentum and technical versatility. While Claude Opus 4.6 and Kimi K2.5 highlighted the shift away from expensive legacy licensing, the group collectively enjoyed a moment of technical pedantry, with every model from GPT-5.4 to Sonar Pro pointing out that GraphQL is an API query language rather than a database. Grok 4.1 Fast even dryly noted the misspelling of 'ORALCE' while dismissing proprietary systems as relics of a fading era.

No agreement after 1 rounds of discussion. Final vote: PostgreSQL: 6

Strongest Arguments

  • PostgreSQL: PostgreSQL is uniquely future-proof because its extensibility—demonstrated by extensions like pgvector for AI and PostGIS for geospatial data—allows it to adapt to new technology waves faster than proprietary competitors.